Embodying Multifunctional Mechano‐Intelligence in and Through Phononic Metastructures Harnessing Physical Reservoir Computing (Adv. Sci. 34/2023)
Mechano-Intelligence In article number 2305074, Yuning Zhang, Aditya Deshmukh, and Kon-Well Wang introduce an innovative method for embodying multifunctional mechano-intelligence into phononic metastructures, harnessing their wave dynamics as computational resources through a physical-body-based analog neural network. This breakthrough lays the foundation for the development of future intelligent structures that can perceive information, learn, make decisions, and execute actions within their mechanical domain.
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